Urban tree inventory with field measurement and mobile mapping system at Denpasar City

Abstract Tree inventory is crucial in managing road trees in urban areas. In Indonesia, roadside trees in public areas are managed by local governments. However, local governments, including Denpasar, have limited tree management resources, such as a lack of budget, low resource capacity, limited numbers of field staff, and incomplete equipment. Under these conditions, local governments can only conduct tree inventories on a small percentage of roadside trees using traditional (paper-based) methods that are time-consuming and poor database management. As a result, the city government does not have complete data for managing roadside trees, including anticipating failure that threatens public safety and property. It is necessary to improve roadside tree inventory methods that can be self-carried out by local governments within the limitations they have. This study examines the time required to record several trees using a mobile application-based field survey method and a mobile mapping system. This study used 1386 roadside trees to be recorded using the mobile application-based field survey method and 12,846 trees to be recorded using the mobile mapping system. The study results show that the mobile application-based field measurement method takes about 11.5 minutes to collect tree data consisting of the local name, diameter, height, tree damage, trunk slope, and tree coordinates. As for the mobile mapping system method, the time needed to collect data for 12,846 trees is 5 days (7 working hours) to record pictures (acquisition) and 15 days to process the recorded images to produce tree data.

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Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2024-12-01
DOI
https://doi.org/10.1088/1755-1315/1433/1/012005
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
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article

Urban tree inventory with field measurement and mobile mapping system at Denpasar City

Alvin Sahab, Retno Wihanesta, Muhammad Zayyanul Afwani, Bergita Gusti Lipu et al.
IOP Conference Series Earth and Environmental Science
Urban Green Space and Health
article

Urban tree inventory with field measurement and mobile mapping system at Denpasar City

Alvin Sahab, Retno Wihanesta, Muhammad Zayyanul Afwani, Bergita Gusti Lipu, I A Widhyasarie, A Witadharma, I G A R Saharini
article en

Abstract

Abstract Tree inventory is crucial in managing road trees in urban areas. In Indonesia, roadside trees in public areas are managed by local governments. However, local governments, including Denpasar, have limited tree management resources, such as a lack of budget, low resource capacity, limited numbers of field staff, and incomplete equipment. Under these conditions, local governments can only conduct tree inventories on a small percentage of roadside trees using traditional (paper-based) methods that are time-consuming and poor database management. As a result, the city government does not have complete data for managing roadside trees, including anticipating failure that threatens public safety and property. It is necessary to improve roadside tree inventory methods that can be self-carried out by local governments within the limitations they have. This study examines the time required to record several trees using a mobile application-based field survey method and a mobile mapping system. This study used 1386 roadside trees to be recorded using the mobile application-based field survey method and 12,846 trees to be recorded using the mobile mapping system. The study results show that the mobile application-based field measurement method takes about 11.5 minutes to collect tree data consisting of the local name, diameter, height, tree damage, trunk slope, and tree coordinates. As for the mobile mapping system method, the time needed to collect data for 12,846 trees is 5 days (7 working hours) to record pictures (acquisition) and 15 days to process the recorded images to produce tree data.

IOP Conference Series Earth and Environmental ScienceVol. 1433(1)
IPB University (ID), University of National Education (ID)
Openalex Percentile: Top 44%
Urban Green Space and Health
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